{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9d8d351b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "喷洒覆盖率：100.00%\n",
      "重复喷洒率：12.30%\n",
      "航线数量：15\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "matplotlib.rcParams['font.family'] = 'SimHei'  \n",
    "matplotlib.rcParams['axes.unicode_minus'] = False  \n",
    "\n",
    "field_size = 100    \n",
    "grid_size = 0.1     \n",
    "n = int(field_size / grid_size) \n",
    "w = 8.0             \n",
    "v = 2.0            \n",
    "h = 1.5             \n",
    "u = 0.5              \n",
    "theta = 0         \n",
    "wind_correction = 1.0\n",
    "\n",
    "w_eff = max(w * np.cos(np.radians(theta)) - wind_correction * u, 1.0)\n",
    "line_spacing = w_eff * 0.95 \n",
    "num_lines = int(np.ceil(field_size / line_spacing))\n",
    "spray_radius = int((w / 2) / grid_size)###计算有效喷幅\n",
    "\n",
    "coverage_count = np.zeros((n, n))  \n",
    "\n",
    "for i in range(num_lines):\n",
    "    y_pos = i * line_spacing\n",
    "    y_idx = int(y_pos / grid_size)\n",
    "    if 0 <= y_idx < n:\n",
    "        coverage_count[:, max(0, y_idx - spray_radius):min(n, y_idx + spray_radius)] += 1 #####模拟喷洒\n",
    "\n",
    "total_cells = n * n\n",
    "covered_once = np.sum(coverage_count >= 1)\n",
    "covered_twice_or_more = np.sum(coverage_count >= 2)\n",
    "\n",
    "coverage_rate = covered_once / total_cells\n",
    "overlap_rate = covered_twice_or_more / total_cells\n",
    "\n",
    "print(f\"喷洒覆盖率：{coverage_rate * 100:.2f}%\")\n",
    "print(f\"重复喷洒率：{overlap_rate * 100:.2f}%\")\n",
    "print(f\"航线数量：{num_lines}\")\n",
    "\n",
    "plt.figure(figsize=(6, 6))\n",
    "plt.imshow(coverage_count, cmap='YlGnBu', origin='lower')\n",
    "plt.colorbar(label='喷洒次数')\n",
    "plt.title(f\"喷洒热力图\\n覆盖率={coverage_rate*100:.2f}%，重复喷洒率={overlap_rate*100:.2f}%\")\n",
    "plt.xlabel(\"X 方向网格\")\n",
    "plt.ylabel(\"Y 方向网格\")\n",
    "plt.tight_layout()\n",
    "plt.show()###画图\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "MyMLenvAllinOne",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
